diff --git a/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/PostgresIntegrationSuite.scala b/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/PostgresIntegrationSuite.scala
index 72bda8fe1ef10e80459378155bec666fddeb7a83..d55cdcf28b23836e3af27c198b9211b7caaa484d 100644
--- a/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/PostgresIntegrationSuite.scala
+++ b/docker-integration-tests/src/test/scala/org/apache/spark/sql/jdbc/PostgresIntegrationSuite.scala
@@ -22,6 +22,7 @@ import java.util.Properties
import org.apache.spark.sql.Column
import org.apache.spark.sql.catalyst.expressions.Literal
+import org.apache.spark.sql.types.{ArrayType, DecimalType}
import org.apache.spark.tags.DockerTest
@DockerTest
@@ -42,10 +43,10 @@ class PostgresIntegrationSuite extends DockerJDBCIntegrationSuite {
conn.prepareStatement("CREATE TYPE enum_type AS ENUM ('d1', 'd2')").executeUpdate()
conn.prepareStatement("CREATE TABLE bar (c0 text, c1 integer, c2 double precision, c3 bigint, "
+ "c4 bit(1), c5 bit(10), c6 bytea, c7 boolean, c8 inet, c9 cidr, "
- + "c10 integer[], c11 text[], c12 real[], c13 enum_type)").executeUpdate()
+ + "c10 integer[], c11 text[], c12 real[], c13 numeric(2,2)[], c14 enum_type)").executeUpdate()
conn.prepareStatement("INSERT INTO bar VALUES ('hello', 42, 1.25, 123456789012345, B'0', "
+ "B'1000100101', E'\\\\xDEADBEEF', true, '172.16.0.42', '192.168.0.0/16', "
- + """'{1, 2}', '{"a", null, "b"}', '{0.11, 0.22}', 'd1')""").executeUpdate()
+ + """'{1, 2}', '{"a", null, "b"}', '{0.11, 0.22}', '{0.11, 0.22}', 'd1')""").executeUpdate()
}
test("Type mapping for various types") {
@@ -53,7 +54,7 @@ class PostgresIntegrationSuite extends DockerJDBCIntegrationSuite {
val rows = df.collect()
assert(rows.length == 1)
val types = rows(0).toSeq.map(x => x.getClass)
- assert(types.length == 14)
+ assert(types.length == 15)
assert(classOf[String].isAssignableFrom(types(0)))
assert(classOf[java.lang.Integer].isAssignableFrom(types(1)))
assert(classOf[java.lang.Double].isAssignableFrom(types(2)))
@@ -67,7 +68,8 @@ class PostgresIntegrationSuite extends DockerJDBCIntegrationSuite {
assert(classOf[Seq[Int]].isAssignableFrom(types(10)))
assert(classOf[Seq[String]].isAssignableFrom(types(11)))
assert(classOf[Seq[Double]].isAssignableFrom(types(12)))
- assert(classOf[String].isAssignableFrom(types(13)))
+ assert(classOf[Seq[BigDecimal]].isAssignableFrom(types(13)))
+ assert(classOf[String].isAssignableFrom(types(14)))
assert(rows(0).getString(0).equals("hello"))
assert(rows(0).getInt(1) == 42)
assert(rows(0).getDouble(2) == 1.25)
@@ -84,13 +86,17 @@ class PostgresIntegrationSuite extends DockerJDBCIntegrationSuite {
assert(rows(0).getSeq(10) == Seq(1, 2))
assert(rows(0).getSeq(11) == Seq("a", null, "b"))
assert(rows(0).getSeq(12).toSeq == Seq(0.11f, 0.22f))
- assert(rows(0).getString(13) == "d1")
+ assert(rows(0).getSeq(13) == Seq("0.11", "0.22").map(BigDecimal(_).bigDecimal))
+ assert(rows(0).getString(14) == "d1")
}
test("Basic write test") {
val df = sqlContext.read.jdbc(jdbcUrl, "bar", new Properties)
// Test only that it doesn't crash.
df.write.jdbc(jdbcUrl, "public.barcopy", new Properties)
+ // Test that written numeric type has same DataType as input
+ assert(sqlContext.read.jdbc(jdbcUrl, "public.barcopy", new Properties).schema(13).dataType ==
+ ArrayType(DecimalType(2, 2), true))
// Test write null values.
df.select(df.queryExecution.analyzed.output.map { a =>
Column(Literal.create(null, a.dataType)).as(a.name)
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JDBCRDD.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JDBCRDD.scala
index befba867bc4605bcf37b6eaed6c9088f371e8faa..ed02b3f95f841ffcb258474fe3a9357bffa87688 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JDBCRDD.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JDBCRDD.scala
@@ -137,7 +137,9 @@ private[sql] object JDBCRDD extends Logging {
val fieldScale = rsmd.getScale(i + 1)
val isSigned = rsmd.isSigned(i + 1)
val nullable = rsmd.isNullable(i + 1) != ResultSetMetaData.columnNoNulls
- val metadata = new MetadataBuilder().putString("name", columnName)
+ val metadata = new MetadataBuilder()
+ .putString("name", columnName)
+ .putLong("scale", fieldScale)
val columnType =
dialect.getCatalystType(dataType, typeName, fieldSize, metadata).getOrElse(
getCatalystType(dataType, fieldSize, fieldScale, isSigned))
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JdbcUtils.scala b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JdbcUtils.scala
index 69ba84646f088e5ab1a5b8f7b1456d824a3704a5..e295722cacf15ae3291227164f09425ddf758c7f 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JdbcUtils.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/execution/datasources/jdbc/JdbcUtils.scala
@@ -194,8 +194,11 @@ object JdbcUtils extends Logging {
case DateType => stmt.setDate(i + 1, row.getAs[java.sql.Date](i))
case t: DecimalType => stmt.setBigDecimal(i + 1, row.getDecimal(i))
case ArrayType(et, _) =>
+ // remove type length parameters from end of type name
+ val typeName = getJdbcType(et, dialect).databaseTypeDefinition
+ .toLowerCase.split("\\(")(0)
val array = conn.createArrayOf(
- getJdbcType(et, dialect).databaseTypeDefinition.toLowerCase,
+ typeName,
row.getSeq[AnyRef](i).toArray)
stmt.setArray(i + 1, array)
case _ => throw new IllegalArgumentException(
diff --git a/sql/core/src/main/scala/org/apache/spark/sql/jdbc/PostgresDialect.scala b/sql/core/src/main/scala/org/apache/spark/sql/jdbc/PostgresDialect.scala
index 8d43966480a65050e70641d7d9987dbc93f22ccf..2d6c3974a833ea672cd45786a8143f14f0200776 100644
--- a/sql/core/src/main/scala/org/apache/spark/sql/jdbc/PostgresDialect.scala
+++ b/sql/core/src/main/scala/org/apache/spark/sql/jdbc/PostgresDialect.scala
@@ -32,14 +32,18 @@ private object PostgresDialect extends JdbcDialect {
if (sqlType == Types.BIT && typeName.equals("bit") && size != 1) {
Some(BinaryType)
} else if (sqlType == Types.OTHER) {
- toCatalystType(typeName).filter(_ == StringType)
- } else if (sqlType == Types.ARRAY && typeName.length > 1 && typeName(0) == '_') {
- toCatalystType(typeName.drop(1)).map(ArrayType(_))
+ Some(StringType)
+ } else if (sqlType == Types.ARRAY) {
+ val scale = md.build.getLong("scale").toInt
+ // postgres array type names start with underscore
+ toCatalystType(typeName.drop(1), size, scale).map(ArrayType(_))
} else None
}
- // TODO: support more type names.
- private def toCatalystType(typeName: String): Option[DataType] = typeName match {
+ private def toCatalystType(
+ typeName: String,
+ precision: Int,
+ scale: Int): Option[DataType] = typeName match {
case "bool" => Some(BooleanType)
case "bit" => Some(BinaryType)
case "int2" => Some(ShortType)
@@ -52,7 +56,7 @@ private object PostgresDialect extends JdbcDialect {
case "bytea" => Some(BinaryType)
case "timestamp" | "timestamptz" | "time" | "timetz" => Some(TimestampType)
case "date" => Some(DateType)
- case "numeric" => Some(DecimalType.SYSTEM_DEFAULT)
+ case "numeric" | "decimal" => Some(DecimalType.bounded(precision, scale))
case _ => None
}
@@ -62,6 +66,8 @@ private object PostgresDialect extends JdbcDialect {
case BooleanType => Some(JdbcType("BOOLEAN", Types.BOOLEAN))
case FloatType => Some(JdbcType("FLOAT4", Types.FLOAT))
case DoubleType => Some(JdbcType("FLOAT8", Types.DOUBLE))
+ case t: DecimalType => Some(
+ JdbcType(s"NUMERIC(${t.precision},${t.scale})", java.sql.Types.NUMERIC))
case ArrayType(et, _) if et.isInstanceOf[AtomicType] =>
getJDBCType(et).map(_.databaseTypeDefinition)
.orElse(JdbcUtils.getCommonJDBCType(et).map(_.databaseTypeDefinition))